Causal Associations of Environmental Pollution and Cardiovascular Disease: A Two-Sample Mendelian Randomization Study.

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Global Heart Pub Date : 2024-06-18 eCollection Date: 2024-01-01 DOI:10.5334/gh.1331

Hui Gao, Jiahai Li, Qiaoli Ma, Qinghui Zhang, Man Li, Xiaoliang Hu

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引用次数: 0

Abstract

Background: There is growing evidence that concentrations of environmental pollutants are previously associated with cardiovascular disease; however, it is unclear whether this association reflects a causal relationship.

Methods: We utilized a two-sample Mendelian randomization (MR) approach to investigate how environmental pollution affects the likelihood of developing cardiovascular disease. We primarily employed the inverse variance weighted (IVW) method. Additionally, to ensure the robustness of our findings, we conducted several sensitivity analyses using alternative methodologies. These included maximum likelihood, MR-Egger regression, weighted median method and weighted model methods.

Results: Inverse variance weighted estimates suggested that an SD increase in PM2.5 exposure increased the risk of heart failure (OR = 1.40, 95% CI 1.02-1.93, p = 0.0386). We found that an SD increase in PM10 exposure increased the risk of hypertension (OR = 1.45, 95% CI 1.02-2.05, p = 0.03598) and atrial fibrillation (OR = 1.41, 95% CI 1.03-1.94, p = 0.03461). Exposure to chemical or other fumes in a workplace was found to increase the risk of hypertension (OR = 3.08, 95% CI 1.40-6.78, p = 0.005218), coronary artery disease (OR = 1.81, 95% CI 1.00-3.26, p = 0.04861), coronary heart disease (OR = 3.15, 95% CI 1.21-8.16, p = 0.0183) and myocardial infarction (OR = 3.03, 95% CI 1.13-8.17, p = 0.02802).

Conclusion: This study reveals the causal relationship between air pollutants and cardiovascular diseases, providing new insights into the protection of cardiovascular diseases.

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环境污染与心血管疾病的因果关系：双样本孟德尔随机研究》。

背景：越来越多的证据表明，环境污染物的浓度曾与心血管疾病相关；然而，目前还不清楚这种关联是否反映了因果关系：我们采用了双样本孟德尔随机化（MR）方法来研究环境污染如何影响患心血管疾病的可能性。我们主要采用了反方差加权法（IVW）。此外，为了确保研究结果的稳健性，我们还使用其他方法进行了多项敏感性分析。这些方法包括最大似然法、MR-Egger 回归法、加权中值法和加权模型法：逆方差加权估计值表明，PM2.5暴露量每增加一个标度，心力衰竭的风险就会增加（OR = 1.40，95% CI 1.02-1.93，P = 0.0386）。我们发现，PM10暴露量每增加一个标准差，就会增加高血压（OR = 1.45，95% CI 1.02-2.05，p = 0.03598）和心房颤动（OR = 1.41，95% CI 1.03-1.94，p = 0.03461）的风险。在工作场所接触化学或其他烟雾会增加罹患高血压（OR = 3.08，95% CI 1.40-6.78，p = 0.005218）、冠心病（OR = 1.81，95% CI 1.00-3.26，p = 0.04861）、冠心病（OR = 3.15，95% CI 1.21-8.16，p = 0.0183）和心肌梗死（OR = 3.03，95% CI 1.13-8.17，p = 0.02802）：本研究揭示了空气污染物与心血管疾病之间的因果关系，为保护心血管疾病提供了新的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Global Heart Medicine-Cardiology and Cardiovascular Medicine

CiteScore

5.70

自引率

5.40%

发文量

审稿时长

5 weeks

期刊介绍： Global Heart offers a forum for dialogue and education on research, developments, trends, solutions and public health programs related to the prevention and control of cardiovascular diseases (CVDs) worldwide, with a special focus on low- and middle-income countries (LMICs). Manuscripts should address not only the extent or epidemiology of the problem, but also describe interventions to effectively control and prevent CVDs and the underlying factors. The emphasis should be on approaches applicable in settings with limited resources. Economic evaluations of successful interventions are particularly welcome. We will also consider negative findings if important. While reports of hospital or clinic-based treatments are not excluded, particularly if they have broad implications for cost-effective disease control or prevention, we give priority to papers addressing community-based activities. We encourage submissions on cardiovascular surveillance and health policies, professional education, ethical issues and technological innovations related to prevention. Global Heart is particularly interested in publishing data from updated national or regional demographic health surveys, World Health Organization or Global Burden of Disease data, large clinical disease databases or registries. Systematic reviews or meta-analyses on globally relevant topics are welcome. We will also consider clinical research that has special relevance to LMICs, e.g. using validated instruments to assess health-related quality-of-life in patients from LMICs, innovative diagnostic-therapeutic applications, real-world effectiveness clinical trials, research methods (innovative methodologic papers, with emphasis on low-cost research methods or novel application of methods in low resource settings), and papers pertaining to cardiovascular health promotion and policy (quantitative evaluation of health programs.